Recent Climate Data Guide content with Tag: No namehttps://climatedataguide.ucar.edu/taxonomy/term/all?keys=&tid=All&tid_3=All&tid_2=All&field_years_of_record_2_value%5Bvalue%5D&field_years_of_record_2_value2%5Bvalue%5D&field_domain_tid=All&field_formats_tid=All&field_timestep_value=All&field_expert_contributors_tid=All&combine=&sort_bef_combine=title%20ASC&sort_by=title&sort_order=ASC
NCAR Climate Data Guide enAIRS (Atmospheric InfraRed Sounder): Version 6 Level 2https://climatedataguide.ucar.edu/climate-data/airs-atmospheric-infrared-sounder-version-6-level-2
AIRS Version 6&nbsp;Level 2 data represent a significant improvement over AIRS Version 5 Level 2 products in terms of greater stability, yield, and quality. Several algorithmic improvements have been made by the AIRS Project in conjunction with the AIRS Science Team. Improvements include: (a) Improved soundings of Tropospheric and Sea Surface Temperatures, day and night; (b) Improvements are larger with increasing cloud cover; (c) Improved retrievals of surface spectral emissivity, day and night; (d) Most of the spurious temperature bias trend seen in earlier versions has been removed; (e) Substantially improved retrieval yield (number of soundings accepted for output) for climate studies; (f) AIRS-Only retrievals with comparable accuracy to AIRS/AMSU retrievals; and (g) More realistic hemispheric seasonal variability and global distribution of Carbon Monoxide. Retrievals from AIRS are being used as a component of the Collaborative Climate Model and Observational Data Services (CCMODS) project to identify and correct biases in modeled physical processes occurring at many spatial or temporal scales.
Three of the significant changes for the Version 6 L3 data include:
L3 support products which contain profile data at 100 vertical levels are now available.
A TqJoint grid is available, which contains gridded data for a common set of temperature and water vapor observations.
Water vapor and trace gas products are now reported both as layer and level quantities.
14 Mar 2013Climate Data Guide From NCAR's Climate Analysis SectionClimate Data Guide From NCAR's Climate Analysis SectionAIRS and AMSU: Trace Gases (CO2, CO, CH4, O3...); Level 3https://climatedataguide.ucar.edu/climate-data/airs-and-amsu-trace-gases-co2-co-ch4-o3-level-3
AIRS provides satellite retrieval of mid-tropospheric carbon dioxide even under cloudy conditions, without the use of a priori information from models. AIRS retrievals use cloud-cleared thermal IR radiance spectra in the 15 micron band with an accuracy better than 2 ppm. AIRS retrievals have been used to produce global maps of carbon dioxide and other trace gases including ozone, methane, and carbon monoxide.01 Apr 2013Climate Data Guide From NCAR's Climate Analysis SectionClimate Data Guide From NCAR's Climate Analysis SectionAIRS and AMSU: Tropospheric air temperature and specific humidityhttps://climatedataguide.ucar.edu/climate-data/airs-and-amsu-tropospheric-air-temperature-and-specific-humidity
The Atmospheric Infrared Sounder (AIRS) project has generated decadal-length,
global, gridded data sets of temperature and specific humidity for several standard
levels in the troposphere for the obs4MIPS project. This obs4MIPS version of the
AIRS data are available at monthly resolution, 1ºx1º grids and formatted to
facilitate easier comparisons with CMIP5 model output. The gridded data are based on
the combined retrievals from AIRS, an instrument sensitive to infrared radiation
emitted from the surface and atmosphere, and the Advanced Microwave Sounding Unit (AMSU), an
instrument sensitive to microwave frequencies that facilitates retrievals even in
somewhat cloudy conditions. Both AIRS and AMSU are onboard NASA's AQUA platform.
Other AIRS Data including tropospheric temperature, specific humidity, relative
humidity, cloud amount, cloud top, and trace gases (CO, O3, and CO2) are also
available at either Level 2 swaths or Level 3 1ºx1º grids and several temporal
resolutions (daily, 8-day, monthly).03 Dec 2012Climate Data Guide From NCAR's Climate Analysis SectionClimate Data Guide From NCAR's Climate Analysis SectionAmundsen Sea Low indices https://climatedataguide.ucar.edu/climate-data/amundsen-sea-low-indices
The Amundsen Sea Low (ASL) is a climatological low pressure center located over the extreme southern Pacific Ocean, off the coast of West Antarctica.&nbsp; Atmospheric variability in this region is larger than anywhere else in the Southern Hemisphere, and exhibits significant correlations with both the Southern Annular Mode (SAM) and ENSO.&nbsp; Given its linkages to basin-wide ENSO variability, the ASL may be thought of as a Southern Hemisphere analog to the Aleutian Low (see North Pacific Index).&nbsp; The ASL plays a significant role in the climate variability of West Antarctica and the adjacent oceanic environment.&nbsp; Due to the extreme variability in the ASL region, and the seasonal migration of the ASL's low-pressure center, defining a single index of the ASL is challenging.&nbsp; A consistent set of indices of the ASL, including its absolute and relative central pressure, and the latitude and longitude of these central pressures, has been derived from the ERA-Interim reanalysis.&nbsp; The term Amundsen-Bellingshausen Seas Low (ABSL) is another name for the ASL.25 Jan 2016Climate Data Guide From NCAR's Climate Analysis SectionClimate Data Guide From NCAR's Climate Analysis SectionAntarctic Seasonal Pressure Reconstructions 1905-2013https://climatedataguide.ucar.edu/climate-data/antarctic-seasonal-pressure-reconstructions-1905-2013
This dataset consists of seasonally resolved timeseries of surface pressure at 18 Antarctic research stations, spanning 1905-2013.&nbsp; Routine meteorological observations began at most of these stations only around 1960, leaving a very short instrumental record on which to assess Antarctic climate variability and change.&nbsp; Surface pressure is one of the most important variables for assessing changes in climate; for example, a drop in surface pressure since ~1980 around Antarctica likely reflects the influence of the ozone hole.&nbsp; The pre-1960 data were reconstructed based on statistical relationships between the original Antarctic station records and much-longer, mid-latitude station records.&nbsp; A variety of tests were performed to assess the robustness of these relationships and to characterize uncertainty in the reconstructions.09 Jun 2016Climate Data Guide From NCAR's Climate Analysis SectionClimate Data Guide From NCAR's Climate Analysis SectionAPHRODITE: Asian Precipitation - Highly-Resolved Observational Data Integration Towards Evaluation of Water Resourceshttps://climatedataguide.ucar.edu/climate-data/aphrodite-asian-precipitation-highly-resolved-observational-data-integration-towards
APHRODITE’s (Asian Precipitation - Highly-Resolved Observational Data Integration Towards Evaluation) daily gridded precipitation is the only long-term (1951 onward) continental-scale daily product that contains a dense network of daily rain-gauge data for Asia including the Himalayas, South and Southeast Asia and mountainous areas in the Middle East. The number of valid stations was between 5000 and 12,000, representing 2.3 to 4.5 times the data available through the Global Telecommunication System network, which were used for most daily grid precipitation products. The products are available on a regional basis.
NOTE: The web site: http://www.agrometeorology.org/topics/agromet-market-place/announcement-aphrodite-precipitation-data
contains: "The APHRODITE project has successfully ended in March 2011"
Unfortunately, many data links are no longer valid.
22 Mar 2013Climate Data Guide From NCAR's Climate Analysis SectionClimate Data Guide From NCAR's Climate Analysis SectionArctic System Reanalysis (ASR)https://climatedataguide.ucar.edu/climate-data/arctic-system-reanalysis-asr
The Arctic System Reanalysis is a multi-agency, university-led retrospective analysis (reanalysis) of the Greater Arctic. ASR is produced using high-resolution versions of the Polar Weather Forecast Model (PWRF) and the WRF-VAR and High Resolution Land Data Assimilation (HRLDAS) data assimilation systems that have been optimized for the Arctic. ASR is a comprehensive integration of the regional climate of the Arctic, currently for the period 2000-2012, with two versions: ASRv1 – 30 km and ASRv2 – 15 km; both are available through the NCAR Research Data Archive. Both versions have 29 pressure levels (71 model levels), 27 surface and 10 upper air analysis variables, 74 surface and 16 upper air forecast variables, and 3 soil variables. Both the u- and v- winds relative to grid and relative to earth are present in the final version.
New features in ASRv2 compared to ASRv1 are higher horizontal resolution, updated model physics including sub-grid scale cloud fraction interaction with radiation, and a dual outer loop routine for more accurate data assimilation. Surface and pressure level products are available at 3-hourly and monthly-mean timescales. ASRv2 will be updated through 2016, then re-assimilated (2000-2016) using the most recent version of Polar WRF and WRFDA (3.9.1). This newer version, ASRv2.1, should be available starting in mid-2018 and will be kept up-to-date through 2020 with a delay of ~3 months. [text credit: Aaron Wilson and David Bromwich]05 Oct 2011Climate Data Guide From NCAR's Climate Analysis SectionClimate Data Guide From NCAR's Climate Analysis SectionArgo Ocean Temperature and Salinity Profiles https://climatedataguide.ucar.edu/climate-data/argo-ocean-temperature-and-salinity-profiles
Argo is an array of over 3600 profiling floats distributed almost uniformly across&nbsp;the global oceans. First deployed in 2000, Argo floats provide temperature and salinity profiles from the surface to a&nbsp;depth of 2000m. The array has approximately 1 float for every 3 degrees of latitude and longitude, providing a new profile once every 10 days. The array is sparser in the Arctic and Southern Oceans. 'Real-time' data are available&nbsp;within&nbsp;24 hours of collection, while 'delayed-mode', bias-corrected data are available within a year of collection. On the whole, Argo provides one of&nbsp;the most accurate and&nbsp;comprehensive&nbsp;means of observing global ocean temperature&nbsp;and salinity changes. Several institutions provide gridded fields based on Argo data.31 Jan 2014Climate Data Guide From NCAR's Climate Analysis SectionClimate Data Guide From NCAR's Climate Analysis SectionAtlantic Meridional Transect (AMT) https://climatedataguide.ucar.edu/climate-data/atlantic-meridional-transect-amt
"The Atlantic Meridional Transect (AMT) is a multidisciplinary programme which undertakes biological, chemical and physical oceanographic research during an annual voyage between the UK and destinations in the South Atlantic." As of early November, 2013, there have been 23 cruises. AMT data have resulted in many publications including three special issues.28 Oct 2013Climate Data Guide From NCAR's Climate Analysis SectionClimate Data Guide From NCAR's Climate Analysis SectionAtlantic Multi-decadal Oscillation (AMO)https://climatedataguide.ucar.edu/climate-data/atlantic-multi-decadal-oscillation-amo
The Atlantic Multi-decadal Oscillation (AMO) has been identified as a coherent mode of natural variability occurring in the North Atlantic Ocean with an estimated period of 60-80 years. It is based upon the average anomalies of sea surface temperatures (SST) in the North Atlantic basin, typically over 0-80N. To remove the climate change signal from the AMO index, users typically detrend the SST data at each gridpoint or detrend the spatially averaged timeseries. Trenberth and Shea (2006) recommend that the detrending be done by subtracting the global-mean SST anomaly timeseries from the spatially averaged timeseries. See the Expert Guidance by Dr. Kevin Trenberth for the rationale for the global-mean detrending approach. The Expert Guidance by Dr. Rong Zhang discusses the impacts and mechanisms of the AMO.06 Nov 2011Climate Data Guide From NCAR's Climate Analysis SectionClimate Data Guide From NCAR's Climate Analysis Section